LitCovid-PAS-Enju  

PubMed:32176808 / 0-199 JSONTXT 17 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
EnjuParser_T0 0-9 JJ denotes Potential
EnjuParser_T1 10-16 NN denotes impact
EnjuParser_T2 17-19 IN denotes of
EnjuParser_T3 20-28 JJ denotes seasonal
EnjuParser_T4 29-36 NN denotes forcing
EnjuParser_T5 37-39 IN denotes on
EnjuParser_T6 40-41 DT denotes a
EnjuParser_T7 42-52 NN denotes SARS-CoV-2
EnjuParser_T8 53-61 JJ denotes pandemic
EnjuParser_T9 63-64 DT denotes A
EnjuParser_T10 65-70 JJ denotes novel
EnjuParser_T11 71-82 NN denotes coronavirus
EnjuParser_T12 83-84 -LRB- denotes (
EnjuParser_T13 84-94 NN denotes SARS-CoV-2
EnjuParser_T14 94-95 -RRB- denotes )
EnjuParser_T15 96-101 RB denotes first
EnjuParser_T16 102-110 VBN denotes detected
EnjuParser_T17 111-113 IN denotes in
EnjuParser_T18 114-119 NNP denotes Wuhan
EnjuParser_T19 119-120 -COMMA- denotes ,
EnjuParser_T20 121-126 NNP denotes China
EnjuParser_T21 126-127 -COMMA- denotes ,
EnjuParser_T22 128-131 VBZ denotes has
EnjuParser_T23 132-138 VBN denotes spread
EnjuParser_T24 139-146 RB denotes rapidly
EnjuParser_T25 147-152 IN denotes since
EnjuParser_T26 153-161 NNP denotes December
EnjuParser_T27 162-166 CD denotes 2019
EnjuParser_T28 166-167 -COMMA- denotes ,
EnjuParser_T29 168-175 VBG denotes causing
EnjuParser_T30 176-180 JJR denotes more
EnjuParser_T31 181-185 IN denotes than
EnjuParser_T32 186-193 CD denotes 100,000
EnjuParser_R0 EnjuParser_T1 EnjuParser_T0 arg1Of impact,Potential
EnjuParser_R1 EnjuParser_T1 EnjuParser_T2 arg1Of impact,of
EnjuParser_R10 EnjuParser_T11 EnjuParser_T12 arg1Of coronavirus,(
EnjuParser_R11 EnjuParser_T13 EnjuParser_T12 arg2Of SARS-CoV-2,(
EnjuParser_R12 EnjuParser_T14 EnjuParser_T12 arg3Of ),(
EnjuParser_R13 EnjuParser_T16 EnjuParser_T15 arg1Of detected,first
EnjuParser_R14 EnjuParser_T11 EnjuParser_T16 arg2Of coronavirus,detected
EnjuParser_R15 EnjuParser_T16 EnjuParser_T17 arg1Of detected,in
EnjuParser_R16 EnjuParser_T18 EnjuParser_T17 arg2Of Wuhan,in
EnjuParser_R17 EnjuParser_T18 EnjuParser_T19 arg1Of Wuhan,","
EnjuParser_R18 EnjuParser_T20 EnjuParser_T19 arg2Of China,","
EnjuParser_R19 EnjuParser_T23 EnjuParser_T21 arg1Of spread,","
EnjuParser_R2 EnjuParser_T4 EnjuParser_T2 arg2Of forcing,of
EnjuParser_R20 EnjuParser_T11 EnjuParser_T22 arg1Of coronavirus,has
EnjuParser_R21 EnjuParser_T23 EnjuParser_T22 arg2Of spread,has
EnjuParser_R22 EnjuParser_T11 EnjuParser_T23 arg1Of coronavirus,spread
EnjuParser_R23 EnjuParser_T23 EnjuParser_T24 arg1Of spread,rapidly
EnjuParser_R24 EnjuParser_T23 EnjuParser_T25 arg1Of spread,since
EnjuParser_R25 EnjuParser_T26 EnjuParser_T25 arg2Of December,since
EnjuParser_R26 EnjuParser_T26 EnjuParser_T27 arg1Of December,2019
EnjuParser_R27 EnjuParser_T23 EnjuParser_T28 arg1Of spread,","
EnjuParser_R29 EnjuParser_T23 EnjuParser_T29 modOf spread,causing
EnjuParser_R3 EnjuParser_T4 EnjuParser_T3 arg1Of forcing,seasonal
EnjuParser_R31 EnjuParser_T30 EnjuParser_T31 arg1Of more,than
EnjuParser_R32 EnjuParser_T32 EnjuParser_T31 arg2Of "100,000",than
EnjuParser_R4 EnjuParser_T1 EnjuParser_T5 arg1Of impact,on
EnjuParser_R5 EnjuParser_T7 EnjuParser_T5 arg2Of SARS-CoV-2,on
EnjuParser_R6 EnjuParser_T7 EnjuParser_T6 arg1Of SARS-CoV-2,a
EnjuParser_R7 EnjuParser_T7 EnjuParser_T8 arg1Of SARS-CoV-2,pandemic
EnjuParser_R8 EnjuParser_T11 EnjuParser_T9 arg1Of coronavirus,A
EnjuParser_R9 EnjuParser_T11 EnjuParser_T10 arg1Of coronavirus,novel